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PCA improves clustering on Wine Dataset with K-Means | N Venkatesh posted on the topic | LinkedIn
Day 14: PCA K-Means Clustering on the Wine Dataset 🍷#DataScienceSeriesChallengeLoaded the Wine dataset (178 samples, 13 features, 3 true wine types).Did EDA standardized the data.Applied PCA: reduced to 10 components (retaining ~95.8% variance).Ran K-Means (k=3) on original scaled data vs PCA data.Results:→ Original: Silhouette 0.308 | DB ...
1 week ago
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